{"id":"W2989188494","doi":"10.1109/globalsip45357.2019.8969170","title":"Single RF Chain Hybrid Analog/Digital Beamforming for Mmwave Massive-mimo","year":2019,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Beamforming; MIMO; Computer science; Electronic engineering; Wireless; 3G MIMO; Multi-user MIMO; Extremely high frequency; Radio frequency; Computer engineering; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000420057,0.0006061918,0.0002675925,0.0003321929,0.0002468075,0.0005239334,0.000386204,0.0004710049,0.003567581],"category_scores_gemma":[0.0005541682,0.000227557,0.0002848917,0.0005455603,0.0003869811,0.0006737486,0.0004122904,0.0004187077,0.001322455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213691,"about_ca_system_score_gemma":0.000304449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001714965,"about_ca_topic_score_gemma":0.0007766929,"domain_scores_codex":[0.9997247,0.000093425,0.00001989865,0.00003741213,0.0001009121,0.00002365761],"domain_scores_gemma":[0.9994678,0.0001682276,0.00009926046,0.00008340676,0.0001481169,0.00003323487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003586364,0.0001772419,0.00179756,0.0004715895,0.0001520231,0.0002713484,0.000128253,0.170891,0.3839117,0.07612425,0.002422816,0.3632937],"study_design_scores_gemma":[0.00009137116,0.001403829,0.001006476,0.0000879516,0.00009735829,0.000964453,0.00007634855,0.7556898,0.1943813,0.02106627,0.02505057,0.00008420476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01548335,0.0004035091,0.9771518,0.0001252947,0.00005612851,0.00004169239,0.00004180371,0.0002298038,0.006466661],"genre_scores_gemma":[0.4968774,0.001053785,0.495414,0.0002655118,0.00014892,0.000110463,0.0001153629,0.00003353058,0.005981139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003567581,"threshold_uncertainty_score":0.01193476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686160475501752,"score_gpt":0.2046061965652054,"score_spread":0.1877445918101878,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}